Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add killvxk/cybersecurity-skills-zh --skill analyzing-cobalt-strike-malleable-profilesgit clone --depth 1 https://github.com/killvxk/cybersecurity-skills-zhWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-cobalt-strike-malleable-profiles)<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-cobalt-strike-malleable-profiles"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-cobalt-strike-malleable-profiles/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-cobalt-strike-malleable-profiles"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-cobalt-strike-malleable-profiles.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00094 | $0.00539 |
| Opus 5 | $0.00047 | $0.00269 |
| Sonnet 5 | $0.00019 | $0.00108 |
| Haiku 4.5 | $0.00009 | $0.00054 |
Grade A, and why
analyzing-cobalt-strike-malleable-profiles scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run( What it actually says
分析 Cobalt Strike 可延展配置文件
使用说明
使用 pyMalleableC2 库解析可延展 C2 配置文件，提取失陷指标（IOC）和检测机会。结合 JARM 指纹识别来识别 C2 服务器。
from malleablec2 import Profile
# 从文件解析可延展配置文件
profile = Profile.from_file("amazon.profile")
# 提取全局选项（休眠时间、抖动、User-Agent）
print(profile.ast.pretty())
# 获取 HTTP-GET 块的 URI 和 Headers，用于构建网络签名
# 获取 HTTP-POST 块中的数据外泄模式
# 对已知 C2 基础设施生成 JARM 指纹
关键分析步骤：
- 解析可延展配置文件，提取 HTTP-GET/POST URI 模式
- 提取 User-Agent 字符串和自定义 Headers，用于 IDS 签名
- 识别休眠时间和抖动，用于设置 Beacon 检测阈值
- 使用 JARM 扫描可疑 IP，与已知 C2 指纹哈希进行匹配
- 将提取的 IOC 与网络流量日志进行交叉参考
示例
# 解析配置文件并提取检测指标
from malleablec2 import Profile
p = Profile.from_file("cobaltstrike.profile")
print(p) # 重建的源码
# 对可疑 C2 服务器进行 JARM 扫描
import subprocess
result = subprocess.run(
["python3", "jarm.py", "suspect-server.com"],
capture_output=True, text=True
)
print(result.stdout)
# 将指纹与已知 CS JARM 哈希进行比对
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 57 lines · 94 tokens per session scan A 23d5d5eb75ea
analyzing-cobalt-strike-malleable-profiles is a skill published in the GitHub repository killvxk/cybersecurity-skills-zh (45 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 94 tokens to every session and 539 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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analyzing-cobalt-strike-malleable-profiles
Parses Cobalt Strike malleable C2 profiles using pyMalleableC2 to extract beacon configuration, HTTP communication patterns, and sleep/jitter settings. Combines with JARM TLS fingerprinting to detect C2 servers on the network. Use when investigating suspected Cobalt Strike infrastructure or building detection…
analyzing-cobalt-strike-malleable-profiles
Parses Cobalt Strike malleable C2 profiles using pyMalleableC2 to extract beacon configuration, HTTP communication patterns, and sleep/jitter settings. Combines with JARM TLS fingerprinting to detect C2 servers on the network. Use when investigating suspected Cobalt Strike infrastructure or building detection…
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